All Things Distributed

DECEMBER 8, 2016

It adopted Amazon Redshift, Amazon EMR and AWS Lambda to power its data warehouse, big data, and data science applications, supporting the development of product features at a fraction of the cost of competing solutions. Some examples of how current customers use AWS are: Cost-effective solutions. Rapid time to market. Increasing agility.

AWS 130

AWS Cloud Lambda Innovation 130

The Netflix TechBlog

MAY 21, 2019

To maintain the quality of Lerner APIs, we are using the server-less paradigm for Lerner’s own integration testing by utilizing AWS Lambda. The agent training library exposes different types of learning agents that utilize neural networks to approximate action. Experiment with different neural network architectures.

Testing 163

Testing AWS Lambda Network 163

All Things Distributed

DECEMBER 13, 2016

Fraud.net uses Amazon Machine Learning to provide more than 20 machine learning models and relies on Amazon DynamoDB and AWS Lambda to run code without provisioning or managing servers. Fraud.net uses AWS to build and train machine learning models in detecting online payment fraud.

AWS 155

AWS Cloud Artificial Intelligence IoT 155

The Morning Paper

FEBRUARY 6, 2020

The canononical cloud platform architecture decouples storage and compute services so that each can be scaled and operated independently, i.e., they are disaggregated. A low-latency autoscaling KVS can serve as both global storage and a DHT-like overlay network. Evaluation.

Serverless 98

Serverless Lambda Cache Latency 98

All Things Distributed

JUNE 21, 2018

This consistent performance is a big part of why the Snapchat Stories feature , which includes Snapchat's largest storage write workload, moved to DynamoDB. Typical use cases for a graph database include social networking, recommendation engines, fraud detection, and knowledge graphs.

Database 167

Database AWS Games Latency 167

All Things Distributed

JUNE 7, 2017

Some applications – medical equipment, industrial machinery, and building automation are just a few – can't rely exclusively on the cloud for control, and require some form of local storage and execution. This is determined by basic laws of physics: it takes time to send data to the cloud, and networks don't have 100% availability.

AWS 89

AWS IoT Lambda Storage 89

Highly Scalable

AUGUST 20, 2013

The pipelines can be stateful and the engine’s middleware should provide a persistent storage to enable state checkpointing. In the previous section, we noted that many distributed query processing algorithms resemble message passing networks. Marz, “Big Data Lambda Architecture”. Interoperability with Hadoop. Pipelining.

Big Data 154

Big Data Processing Lambda Database 154

The Morning Paper

AUGUST 29, 2019

Which I’m quite happy to see as my most recent data pipeline is based around Lambda, S3, and Athena, and it’s been working great for my use case. For those systems where you provide your own compute instances, the default configuration tested used a 4-node r4.8xlarge cluster with 10Gb/s networking. The design space. Key findings.

Architecture 76

Architecture Cloud Storage Serverless 76

All Things Distributed

OCTOBER 12, 2016

Since then we’ve introduced Amazon Kinesis for real-time streaming data, AWS Lambda for serverless processing, Apache Spark analytics on EMR, and Amazon QuickSight for high performance Business Intelligence. This allows for faster failover times while minimizing latency. Redis and Fast Data.

Scalability 102

Scalability Cache Analytics AWS 102

All Things Distributed

JUNE 26, 2016

AdiMap uses Amazon Kinesis to process real-time streaming online ad data and job feeds, and processes them for storage in petabyte-scale Amazon Redshift. On a more playful note, for those that are inclined to look at our serverless compute architecture, I would love to reacquaint you with Dubsmash ’s innovative use of AWS Lambda.

AWS 77

AWS Cloud Healthcare Blockchain 77

The Morning Paper

JUNE 23, 2019

Coupled with stateless application servers to execute business logic and a database-like system to provide persistent storage, they form a core component of popular data center service archictectures. The network latency of fetching data over the network, even considering fast data center networks. Who knew! ;).

Cache 79

Cache Latency Google Network 79

Abhishek Tiwari

NOVEMBER 3, 2018

Case-in-point, most enterprise CMS vendors lack robust full-site content delivery network (CDN) integration. A few months back, I was pulled into a scenario where a business has been working with a leading CMS vendor to roll-out a network of multi-regional websites.

Systems 63

Systems Cache Website Network 63

O'Reilly

MAY 19, 2020

network engineer, at >2%) and management positions (IT manager, at close to 3%; operations manager at >1%). Interestingly, multi-cloud, or the use of multiple cloud computing and storage services in a single homogeneous network architecture, had the fewest users (24% of the respondents). Role of survey respondents.

Cloud 144

Cloud Serverless AWS DevOps 144

Enprowess

JANUARY 12, 2022

Other benefits: It has other benefits like a Quicker launch to the market, Easier distribution, saving device power and storage, seamless maintenance, and updating. IBM OpenWhisk, Microsoft Azure, AWS Lambda, and Google Cloud Functions are famous names that provide server-less services. Famous PWA Use Examples. Image Source.

Blockchain 59

Blockchain IoT Development Serverless 59

IO River

NOVEMBER 2, 2023

For example, Lambda@Edge request pricing is $0.6 Transition to a Multi-CDN SetupA multi-CDN strategy has multiple advantages, like ensuring network redundancy and enhanced performance. Capacity CommitmentCommitting to a certain capacity for CDNs saves money by giving you a discounted rate on CDN bandwidth and storage.

Infrastructure 52

Infrastructure Traffic Cache Strategy 52

IO River

NOVEMBER 2, 2023

For example, Lambda@Edge request pricing is $0.6 Transition to a Multi-CDN SetupA multi-CDN strategy has multiple advantages, like ensuring network redundancy and enhanced performance. Capacity CommitmentCommitting to a certain capacity for CDNs saves money by giving you a discounted rate on CDN bandwidth and storage.

Infrastructure 40

Infrastructure Traffic Cache Strategy 40

IO River

NOVEMBER 2, 2023

It’s not just limited to cloud resources like AWS and Azure; Terraform is versatile, extending its capabilities to key performance areas like Content Delivery Network (CDN) management, ensuring efficient content delivery and optimal user experience.‍Started Different providers have different plugins and configurations.

Open Source 52

Open Source DevOps AWS Infrastructure 52

IO River

NOVEMBER 2, 2023

Whether you're scaling storage solutions like S3 buckets, compute resources like EKS clusters, or content delivery mechanisms via CDNs, Terraform offers a streamlined approach. Their expertise lies in ensuring everything runs smoothly, from servers to networks. Different providers have different plugins and configurations.

Open Source 40

Open Source DevOps AWS Infrastructure 40

Smashing Magazine

NOVEMBER 8, 2018

In this article, I will describe this latter solution, based on a WordPress application storing files on Amazon Web Services (AWS) Simple Storage Service (S3) (a cloud object storage solution to store and retrieve data), operating through the AWS SDK. Creating The Bucket. Large preview ). Large preview ). Conclusion.

AWS 45

AWS Servers Storage Cloud 45

Adrian Cockcroft

NOVEMBER 18, 2024

Hear how AWS infrastructure is efficient for your AI workloads to minimize environmental impact as you innovate with compute, storage, networking, and more. Learn from Nasdaq, whose AI-powered environmental, social, and governance (ESG) platform uses Amazon Bedrock and AWS Lambda. You must bring your laptop to participate.

AWS 98

AWS Energy Lambda Government 98